[1]AN Guowei,WANG Yaonan,ZHOU Xianen,et al.Binocular distance measurement system based on saliency detection[J].CAAI Transactions on Intelligent Systems,2018,13(6):913-920.[doi:10.11992/tis.201712005]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
13
Number of periods:
2018 6
Page number:
913-920
Column:
学术论文—机器感知与模式识别
Public date:
2018-10-25
- Title:
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Binocular distance measurement system based on saliency detection
- Author(s):
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AN Guowei; WANG Yaonan; ZHOU Xian’en; TAN Jianhao
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National Engineering Laboratory for Robot Visual Perception and Control Technology, Hu’nan University, Changsha 410082, China
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- Keywords:
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machine vision; surf operator; binocular distance measurement; feature points match; camera correction
- CLC:
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TP391
- DOI:
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10.11992/tis.201712005
- Abstract:
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To improve real-time image matching and ranging accuracy in binocular vision ranging systems, this paper proposes a binocular distance measurement method, in which saliency detection and focal length fitting are combined. The method first corrects the distortion of the binocular camera and then fits the relationship between the camera focal length and object distance by using the characteristics of the binocular camera imaging and further applies the obtained image for saliency detection, and then the target object area is extracted. Finally, the surf operator is used to perform feature matching on the extracted region, and the matching point is substituted into the ranging model to obtain the distance of the target object. The results show that the saliency detection method can significantly improve the execution speed of the algorithm, and the focal length fitting can reduce the error of binocular ranging model, which significantly improves the binocular ranging system accuracy.